Kling 4.0: Kuaishou's 30-Second AI Video Model

Updated: October 2026 · 6 min read · By the CreatorSprout team

Kling 4.0 abstract illustration — Abstract illustration created for this article

Launch coverage based on Kuaishou's announcement and press reporting — we have not tested this model hands-on. There are no standardized public benchmarks for Kling 4.0; every quality comparison below is third-party or subjective, not independently verified. Pricing is credit-based and third-party-reported; confirm current rates on the official site before you commit. No affiliate links in this article.

For creators, that combination matters more than any benchmark table: longer takes plus keyframes means you start directing shots instead of re-rolling generations until something usable appears. Here's what the launch actually contains — and what is still promised rather than delivered.

What Kling 4.0 is

Kling is Kuaishou's AI video business — one of the largest in the world by revenue, reportedly valued around $18 billion in a July 2026 financing round, with plans to spin out as a separate company and seek a Hong Kong listing. Kling 4.0 was first announced on September 28, 2026, went fully live on the Kling platform on October 15, and the API service officially launched on October 22, 2026 — rolling out gradually to enterprise customers and developers worldwide.

Kling 4.0 is a closed model served through Kling's web platform and API, with output up to 4K and a redesigned creation interface: image, video, and audio references now enter through one input box, with a timeline for previewing and editing and a canvas workspace that includes an agent assistant. It's also reachable through MCP and CLI, which makes it scriptable from agent and terminal workflows.

The 30-second clip: what actually changed

Kling 4.0 generates up to 30 seconds natively in one pass — twice Kling 3.0's 15-second limit. For storytelling, that's the single biggest upgrade: a 30-second shot covers a full scene beat instead of a fragment, and it reduces the stitching problem that makes AI shorts feel jumpy.

The longer sibling of that feature — multi-shot continuation up to 2 minutes — is announced but not yet available as of October 23, 2026 reporting. Same with 10-bit HDR output at 4K and 1080p: announced, still rolling out. What ships today is 30-second generations; the rest is roadmap, and the roadmap is where launch coverage usually stops being precise.

One more thing the launch doesn't include: no standardized benchmarks. Every comparison of Kling 4.0 against rivals like ByteDance's Seedance 2.5 or Alibaba's Wan 3.0 so far is a subjective visual A/B test. One outlet's comparison had Kling 4.0 "broadly level but not ahead" of its Chinese competitors on shot transitions, physics, and natural-sounding dialogue. The honest read: the race for big leaps in video quality may be slowing, and Kling 4.0's differentiation is length and control, not a visual-quality crown.

Control: 10 keyframes + Omni Reference

This is the part worth paying attention to. Multi-Keyframe Control lets you pin up to 10 keyframes along a generation to steer how a scene unfolds — where the camera is at each beat, what changes when. Instead of one prompt for 30 seconds, you get shot-level control across the clip.

Omni Reference is the reference system: up to 15 assets in a single generation — up to 10 images, 5 videos (30 seconds combined maximum), plus elements like storyboards, wireframes, image grids, and depth-map clips. References can lock a character, a product, a voice, or a style across the shot. A feature called Creative Recreation lets an existing video serve as a template: swap the product or character, or change the facial expression, movement, camera angle, or background, while the rest of the clip stays intact.

For faceless YouTube and Reels workflows, this is genuinely useful: lock your character or product as a reference, keyframe the camera beats, and generate a 30-second segment per scene instead of six 5-second fragments that refuse to match.

Audio, modes, and the Flash tier

Kling 4.0 generates native two-channel stereo audio with improved lip sync, and rendered text inside videos reportedly stays readable across languages and stable during camera moves — two of the details that separate demo footage from usable footage.

Generation modes:

Text-to-video — starts from a written prompt (up to an 8,000-token brief)
Image-to-video — animates a still or starts from it
Video-to-video — Creative Recreation restyles or re-templates an existing clip
Keyframes-to-video — the up-to-10-keyframe directed mode

Kling 4.0 Flash is the lighter variant: faster, lower-cost generation capped at 720p and 20-second clips. It opened to Ultra Yearly subscribers on September 28, 2026. If your workflow is volume shorts rather than hero shots, Flash is the tier to watch.

Pricing: credit-based, verify before you pay

Kling sells credit-based memberships on kling.ai. Kling has not published official per-second rates for Kling 4.0 on an English-language page we could verify; what exists is third-party reporting from Chinese-language sources and beta testers:

15 credits per second at 1080p and 10 credits per second at 720p — so one 30-second 1080p clip costs about 450 credits
One tester estimated that at roughly 16 yuan per 30-second clip at membership rates — before any rerolls
Third-party API wrappers charge roughly $0.157/sec at 720p and $0.235/sec at 1080p for the same model — a useful comparison point, not official pricing

The caveat is obvious and we won't bury it: these are reported figures, not verified list prices, and membership tiers run frequent temporary promos. Treat them as orientation, then check kling.ai's current plans before budgeting a production run. And remember the fast-iteration trap: cheap per-clip pricing makes you generate ten versions of a shot, which quietly becomes the real cost.

How to try it

Easiest: kling.ai. The full model is live on the web platform since October 15 — the redesigned creation page with the timeline, canvas workspace, and agent assistant.
Developers: the API service launched October 22, 2026 and is gradually opening to enterprise customers and developers; MCP and CLI access are also live for scripted and agent-driven workflows.
Start with image-to-video or keyframes. That's where the 30-second length and 10-keyframe control actually compound — feed it a still you like, pin the camera beats, and judge motion consistency.
Compare blind on your own footage. Run the same shot through Kling 4.0, Seedance 2.5, and one Western rival, and pick the winner without looking at the labels. Subjective A/Bs are all the industry has right now anyway.

The honest caveats

We haven't tested it. Every capability number in this article is Kuaishou's own or third-party reporting. That's normal for launch coverage, and exactly why we keep saying it.
There are no standardized benchmarks. No Elo arena score, no published benchmark table. Independent comparisons so far are visual A/Bs, and at least one has Kling 4.0 "broadly level but not ahead" of Wan 3.0 and Seedance 2.5.
10-bit HDR and 2-minute extension are announced, not shipped. As of October 23, 2026 reporting, neither is available. Don't plan a production pipeline around them yet.
The API rollout is gradual. Launched October 22 to enterprise and developers worldwide, but access is opening progressively — availability and pricing may vary by account.
Pricing is third-party-reported. We could not verify official per-second rates on an English-language page; the credit figures above are from testers, not from Kling's price list.
Volume pricing logic cuts both ways. At ~450 credits per 30-second 1080p clip, a 3-minute faceless video needs roughly six generations per scene — the math works only if you reach an acceptable clip fast, which is precisely what the keyframes are for.

Verdict

Kling 4.0 is the most significant AI video launch for creators this month — not because its quality benchmarks are settled (there aren't any), but because it moves AI video from generation toward direction: 30-second native takes, up to 10 keyframes, and a 15-asset reference system that finally lets you lock a character and a camera across a full scene. The honest move: test it on a real shot from your own workflow, start in the Flash tier if you're generating volume, compare blind against Seedance 2.5, and verify current pricing on kling.ai before you budget anything. The HDR and 2-minute extension can wait until they actually ship.

FAQ

What is Kling 4.0?

A video-generation model by Kuaishou's Kling AI team, announced September 28, 2026 and fully live from October 15, with the developer API launching October 22. It offers text-to-video, image-to-video, video-to-video, and keyframes-to-video generation with up to 4K output and native stereo audio.

How long can Kling 4.0 clips be?

Up to 30 seconds in a single native pass — double Kling 3.0's 15 seconds. A multi-shot extension up to 2 minutes is announced but had not shipped as of October 23, 2026.

What is Omni Reference?

Kling 4.0's reference system: up to 15 assets per generation — up to 10 images, 5 videos (30 seconds combined), plus elements like storyboards and depth-map clips — used to lock characters, products, voices, and styles across a shot.

How much does Kling 4.0 cost?

Credit-based memberships on kling.ai. Third-party testers report 15 credits/second at 1080p and 10 credits/second at 720p (about 450 credits for a 30-second 1080p clip), but official English-language rates weren't verifiable — check kling.ai before budgeting.

Can I use Kling 4.0 through an API?

The API service officially launched October 22, 2026 and is gradually opening to enterprise customers and developers worldwide; MCP and CLI access are also available. Access and pricing during the rollout may vary by account.

Is Kling 4.0 the best AI video model?

No standardized benchmarks exist. Independent visual A/Bs put it broadly level with — not clearly ahead of — rivals like Seedance 2.5 and Wan 3.0. Its edge is length and control (30 seconds, 10 keyframes, 15 references), not a proven quality lead, and we haven't tested it hands-on.